The Sample Size Matters: To What Extent the Participant Reduction Affects the Outcomes of a Neuroscientific Research. A Case-Study in Neuromarketing Field.
EEG
GSR
HR
applied neurosciences
sample size
signal processing
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
10 Sep 2021
10 Sep 2021
Historique:
received:
29
05
2021
revised:
30
08
2021
accepted:
07
09
2021
entrez:
28
9
2021
pubmed:
29
9
2021
medline:
30
9
2021
Statut:
epublish
Résumé
The sample size is a crucial concern in scientific research and even more in behavioural neurosciences, where besides the best practice it is not always possible to reach large experimental samples. In this study we investigated how the outcomes of research change in response to sample size reduction. Three indices computed during a task involving the observations of four videos were considered in the analysis, two related to the brain electroencephalographic (EEG) activity and one to autonomic physiological measures, i.e., heart rate and skin conductance. The modifications of these indices were investigated considering five subgroups of sample size (32, 28, 24, 20, 16), each subgroup consisting of 630 different combinations made by bootstrapping n (n = sample size) out of 36 subjects, with respect to the total population (i.e., 36 subjects). The correlation analysis, the mean squared error (MSE), and the standard deviation (STD) of the indexes were studied at the participant reduction and three factors of influence were considered in the analysis: the type of index, the task, and its duration (time length). The findings showed a significant decrease of the correlation associated to the participant reduction as well as a significant increase of MSE and STD (
Identifiants
pubmed: 34577294
pii: s21186088
doi: 10.3390/s21186088
pmc: PMC8473095
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : WORKINGAGE: Smart Working environments for all Ages
ID : 826232
Organisme : SIMUSAFE: Simulator Of Behavioral Aspects For Safer Transport
ID : 723386
Organisme : SAFEMODE: Strengthening synergies between Aviation and maritime in the area of human Factors towards achieving more Efficient and resilient MODE of transportation
ID : 814961
Organisme : MINDTOOTH: Wearable device to decode human mind by neurometrics for a new concept of smart interaction with the surrounding environment
ID : 950998
Organisme : Transparent artificial intelligence and automation to air traffic management systems, ''ARTIMATION,''
ID : 894238
Organisme : Individual grant BE-FOR-ERC for the project "BRAIN2GETHER" recognized by Sapienza Uni-versity of Rome to Dr. Gianluca Di Flumeri
ID : individual
Références
Clin Neurophysiol. 2013 Oct;124(10):1975-85
pubmed: 23684127
Psychol Methods. 2021 Jun;26(3):295-314
pubmed: 32673043
Med Biol Eng Comput. 2011 May;49(5):579-83
pubmed: 21327841
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:5180-5183
pubmed: 31947025
PLoS One. 2018 Jan 19;13(1):e0191500
pubmed: 29352314
Brain Sci. 2020 Aug 13;10(8):
pubmed: 32823582
Front Hum Neurosci. 2018 Dec 18;12:509
pubmed: 30618686
Front Hum Neurosci. 2019 Sep 06;13:296
pubmed: 31555113
Perspect Psychol Sci. 2012 Nov;7(6):615-31
pubmed: 26168121
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:3228-3231
pubmed: 29060585
J Neurosci Methods. 2004 Mar 15;134(1):9-21
pubmed: 15102499
Brain Res Brain Res Rev. 1999 Apr;29(2-3):169-95
pubmed: 10209231
Comput Intell Neurosci. 2019 Sep 18;2019:1976847
pubmed: 31641346
J Neural Eng. 2015 Dec;12(6):066028
pubmed: 26595103
Front Hum Neurosci. 2017 Feb 28;11:78
pubmed: 28293184
Nat Rev Neurosci. 2013 May;14(5):365-76
pubmed: 23571845
Neuroimage. 2012 Jul 16;61(4):1300-10
pubmed: 22521475
Comput Intell Neurosci. 2018 Sep 24;2018:9616301
pubmed: 30344600
Sci Rep. 2021 Mar 1;11(1):4831
pubmed: 33649348
Physiol Meas. 2018 Aug 29;39(8):08TR02
pubmed: 30039806
Aviat Space Environ Med. 2007 May;78(5 Suppl):B231-44
pubmed: 17547324
Malawi Med J. 2012 Sep;24(3):69-71
pubmed: 23638278
Trends Cogn Sci. 2012 Dec;16(12):606-17
pubmed: 23141428
Psychophysiology. 2012 Aug;49(8):1017-34
pubmed: 22680988
J Neurosci Methods. 2015 Jul 30;250:126-36
pubmed: 25596422
Biol Cybern. 1998 Jul;79(1):49-57
pubmed: 9742677
Comput Intell Neurosci. 2019 Apr 17;2019:7348795
pubmed: 31143204
Trop Med Int Health. 2020 Mar;25(3):278-280
pubmed: 32052514
Int J Psychophysiol. 2017 Jan;111:33-41
pubmed: 27373837
J Neurosci Methods. 2010 Jun 30;190(1):80-91
pubmed: 20451556
J Pers Soc Psychol. 1990 Feb;58(2):330-41
pubmed: 2319445
PLoS One. 2019 Nov 7;14(11):e0224365
pubmed: 31697686
Radiology. 2003 May;227(2):309-13
pubmed: 12732691
Front Neurosci. 2014 Jun 12;8:114
pubmed: 24971046
Sensors (Basel). 2019 Mar 19;19(6):
pubmed: 30893791
Comput Math Methods Med. 2014;2014:912981
pubmed: 25147579
Brain Sci. 2021 Apr 28;11(5):
pubmed: 33925209
IEEE Trans Biomed Eng. 1985 Mar;32(3):230-6
pubmed: 3997178
Comput Intell Neurosci. 2016;2016:3795325
pubmed: 27313602
Comput Intell Neurosci. 2019 Jun 25;2019:7051079
pubmed: 31341468
Psychol Bull. 2010 Sep;136(5):822-48
pubmed: 20804237
Front Neurosci. 2020 Dec 21;14:594566
pubmed: 33408608
Brain Topogr. 1990 Fall;3(1):137-41
pubmed: 2094301
Conscious Cogn. 2012 Sep;21(3):1345-54
pubmed: 22800733
Psychol Sci. 2017 Nov;28(11):1547-1562
pubmed: 28902575